predictive analytics

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Published By: NetApp     Published Date: Mar 05, 2018
Read this vendor assessment from IDC and find out about the suitability of 10 vendors' AFA platforms for dense mixed enterprise workload consolidation. Discover the areas where the most differentiation between vendors was noted, including their strategies around NVMe and cloud-based predictive analytics.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: GE Power     Published Date: Sep 16, 2016
In this eBook learn how power leaders are leveraging Asset Performance Management (APM) to drive less unplanned downtime, safer operations and a competitive edge with data and predictive analytics.
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general electric, apm, asset performance management, performance management, operations, data analytics, analytical applications, information management
    
GE Power
Published By: TIBCO Software APAC     Published Date: Aug 15, 2018
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms. Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
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TIBCO Software APAC
Published By: Splunk     Published Date: Aug 17, 2018
Imagine a world where incident alerts arrive 30 minutes before problems even begin — you’d actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again — the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase productivity.
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: Splunk     Published Date: Aug 17, 2018
IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations. Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter. Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to: Enable a business aware IT organization Unlock operational efficiencies Solve problems with predictive analytics
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: Splunk     Published Date: Aug 22, 2018
The world of artificial intelligence (AI) has finally arrived at the doorstep of IT operations. As organizations move toward using both big data and machine learning functionality to support a variety of IT operations, processes and tasks, artificial intelligence for IT operations (AIOps) platforms have emerged as a one-stop solution. Gartner has released a “Market Guide for AIOps Platforms” that provides findings about the AIOps industry and its latest developments. Download your complimentary copy to: *Gain insight into the developing industry of AIOps and its future *Learn how to optimize IT operations powered by machine learning to drive business value *Compare different AIOps platform vendors and their range of capabilities
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: Aberdeen Group     Published Date: Aug 04, 2015
The practice of using predictive analytics for marketing is becoming much more commonplace, but, in many ways, this field is still immature. Marketers are using analytics to identify new prospects, qualify leads, predict close rates, and optimize pricing, but there are still many ways to refine these methods -- along with many pitfalls to avoid. Download this white paper to learn how to win the B2B marketing analytics poker game.
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predictive analytics, leads, pricing, close rates, public data, social media, data analysis
    
Aberdeen Group
Published By: Dun & Bradstreet     Published Date: Oct 21, 2016
It is important to understand the different business situations where traditional predictive analytics can be best applied and where anticipatory analytics may be a more appropriate approach to solve the business problem. One is not necessarily superior to the other – it’s about which methodology is best utilized in solving the specific business problem. Conventional response modeling, revenue potential modeling, wallet share analysis, traditional risk scoring and other analytic practices will always be important tools for businesses far-and-wide, but as more companies focus on analytics to inform growth, they’ll have employ the right team and identify the right partners to work with in order to successfully leverage anticipatory analytics to gain a competitive advantage. Looking forward, we anticipate anticipatory analytics playing an important role in your future. Download this white paper to learn more.
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Dun & Bradstreet
Published By: IBM     Published Date: Jun 16, 2015
Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
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data center, predictive analytics, data center strategy, resilient infrastructure, cloud computing, social collaboration, business analytics, emerging technologies, virtualization, automation
    
IBM
Published By: IBM     Published Date: Jan 27, 2016
This paper describes how predictive analytics can play a critical role in your threat and risk strategy.
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ibm, threat, risk, management, security, analytics, fraud, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jan 27, 2016
This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
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ibm, analytics, predictive, strategy, competitive advantage, security, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jan 27, 2016
Forrester Research evaluated 13 big data predictive analytics solution vendors and IBM emerged as one of the three leaders. Learn why.
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ibm, forrester wave, big data, predictive analytics, enterprise applications, data management, business technology
    
IBM
Published By: IBM     Published Date: Jul 19, 2016
This video demonstrates how IBM’s Behavior Based Customer Insight for Banking leverages predictive analytics to help you personalize customer engagement and deliver customized actions. The solution leverages advanced predictive models to analyze customer transactions and spending behavior to more deeply understand customer needs and propensities, anticipate life events, and help provide a unique customer experience.
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ibm, banking, finance, consumer insights, business intelligence, business anlytics, knowledge management, enterprise applications
    
IBM
Published By: Workday     Published Date: Aug 07, 2018
Today, big data is everywhere. But only companies that know how to realize its true potential are gaining the competitive edge. Join HBR and Eric Siegel, author of Predictive Analytics: Who Will Click, Buy, Lie, or Die, to learn how you can transform data into insight, predict the future, and win.
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Workday
Published By: Nimble Storage     Published Date: Feb 26, 2016
Download this eBook to learn the steps you can take now to prepare for the all flash data center. flash storage, SSD, all flash data centers, nimble storage, predictive flash platform, application perfomance, data velocity
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flash storage, ssd, all flash data centers, nimble storage, predictive flash platform, application perfomance, data velocity, data protection, high availability, big data, predictive analytics, data center
    
Nimble Storage
Published By: GE Power     Published Date: Oct 05, 2016
Ten Billion dollars in production is lost annually from unplanned downtime in the power sector. 95% of alarms don’t matter. In this eBook learn how power leaders are leveraging Asset Performance Management (APM) to drive less unplanned downtime, safer operations and a competitive edge with data and predictive analytics.
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power plant asset management software, plants operation management software, asset performance management system, emissions management software
    
GE Power
Published By: Fiserv     Published Date: Nov 09, 2017
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively. So how can financial institutions respond to this growing threat? Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs. Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
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kyc, know your customer, beneficial ownership, financial crime, financial crimes, compliance, enhanced due diligence, suspicious activity report, currency transaction report, aml directive, anti-money laundering laws
    
Fiserv
Published By: Splunk     Published Date: Sep 10, 2018
collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside other tools to help identify trends, issues and relationships not easily observable. Read this e-book to get a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment.
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: IBM     Published Date: Jan 27, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior—and profitable—interactions with customers.
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ibm, data, insights, results, analytics, cognitive commerce, knowledge management, enterprise applications, data management, business technology
    
IBM
Published By: IBM     Published Date: Apr 01, 2016
Traditional business intelligence (BI) looks backward at what has happened. In today’s marketplace, enterprises need to look ahead. In this eGuide from TDWI, you'll discover how advances in predictive analytics are enabling organizations to use insights about the past and present to make accurate predictions about the future.
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ibm, business intelligence, ibm connect, predictive analytics, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Jul 14, 2016
Learn why advanced analytics tools are essential to sustain a competitive advantage. This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
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ibm, predictive analytics, analytics tools, advanced analytics, enterprise applications, business technology, data center
    
IBM
Published By: SAP     Published Date: Jul 18, 2016
As your business transitions to a digital enterprise, you can start to give your employees, partners, and customers immediate, data-driven, and even predictive insight into what’s going on – in a way that’s relevant for them. Strategic use of on premise and cloud-based analytics accelerates this process. Read the solution brief to see how SAP is continuing to invest in on premise solutions as part of their effort to reimagine analytics.
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SAP
Published By: SAP     Published Date: Jul 18, 2016
Traditional business intelligence tools provide limited explanations of why something happened, because most BI solutions are geared more for reporting and dashboarding workflows.
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SAP
Published By: IBM     Published Date: Apr 26, 2016
New channels and cashless payment ecosystems have created greater risk for financial institutions; the increase in fraudulent activities has compounded the need for more rapid detection and counter measures. Please view this webcast and learn: - The key challenges financial institutions face in rapidly detecting, responding and countering new fraud schemes - The value a cognitive computing approach offers an institution; enabling them to make swifter, more accurate decisions while providing more control and transparency
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ibm, ibm banking industries, risk management, predictive analytics, fraud, cognitive computing, finance
    
IBM
Published By: IBM     Published Date: May 03, 2016
In this report you will learn how to enhance your customer relationships across all your channels and touch points, produce personalized customer offers and learn from real-world case studies across various industries.
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ibm, ibm predictive customer intelligence, business analytics, customer relations, business technology
    
IBM
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